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Posted to dev@cassandra.apache.org by Paulo Motta <pa...@apache.org> on 2022/05/20 19:02:21 UTC
Re: Performance Engineering Track at ApacheCon NA?
Hi Sharan,
Are you still looking for track reviewers on the perf. engineering track?
What are the duties involved?
Thanks,
Paulo
On Wed, 6 Apr 2022 at 12:14 Sharan Foga <sh...@apache.org> wrote:
> Hi Paulo
>
> We have great news - the Performance Engineering track has been accepted
> so we will be looking to encourage and promote CFP submissions for it. We
> are also looking for reviewers to help us rate the submissions---if you are
> still interested in doing that. ;-)
>
> Thanks
> Sharan
>
> On 2022/03/16 15:36:04 Sharan Foga wrote:
> > Hi Paulo
> >
> > Thanks for the feedback. If we do get the track accepted then we will
> definitely be needing help reviewing the submissions - so may take you up
> on your offer :-)
> >
> > Thanks
> > Sharan
> >
> > On 2022/03/14 16:32:23 Paulo Motta wrote:
> > > This Apachecon track sounds fun! I hope someone from the Cassandra
> > > community steps up to help on this track.
> > >
> > > I would be happy to help on reviews but not organize the event per se
> as I
> > > will likely not attend the event.
> > >
> > > Em sex., 11 de mar. de 2022 às 09:26, sharanf <sh...@apache.org>
> escreveu:
> > >
> > > > Hi All
> > > >
> > > > The call for tracks for ApacheCon NA is open. There is a suggestion
> to
> > > > try and run a Performance Engineering track at ApacheCon this year.
> At
> > > > the end of the message I have included some details including a
> > > > definition of what we mean by it and some reasoning about why it
> could
> > > > be good to run. We have a list of projects that have something to do
> > > > with performance engineering and if you take a look - you will see
> that
> > > > this project is on the list!
> > > >
> > > > So what I need is a some feedback as to whether the community thinks
> > > > that this could be an interesting track topic to run at
> ApacheCon..and
> > > > more importantly would the community be willing to submit talks for
> it
> > > > or attend ApacheCon to see it.
> > > >
> > > > Like I say - this is just an idea at this stage. If the Performance
> > > > Engineering track does get approval to be included at ApacheCon -
> do we
> > > > have any volunteers willing to help with managing and promoting the
> > > > track on behalf of the project?
> > > >
> > > > Thanks
> > > > Sharan
> > > >
> > > > -----------------------------
> > > >
> > > > *Performance Engineering* is the science and practice of engineering
> > > > software with the required performance and scalability
> characteristics.
> > > > Many Apache projects focus on solving hard Big Data performance and
> > > > scalability challenges, while others provide tools for performance
> > > > engineering - but there are few projects that don’t care about some
> > > > aspect of software performance.
> > > >
> > > > This track will enable Apache projects members to share their
> > > > experiences of performance engineering best practices, tools,
> > > > techniques, and results, from their own communities, with the
> benefits
> > > > of cross-fertilization between projects. Performance Engineering in
> the
> > > > wider open source community is pervasive and includes methods and
> tools
> > > > (including automation and agile approaches) for performance:
> > > > architecting and design, benchmarking, monitoring, tracing, analysis,
> > > > prediction, modeling and simulation, testing and reporting,
> regression
> > > > testing, and source code analysis and instrumentation techniques.
> > > >
> > > > Performance Engineering also has wider applicability to DevOps, the
> > > > operation of cloud platforms by managed service providers (hence some
> > > > overlap with SRE - Site Reliability Engineering), and customer
> > > > application performance and tuning. This track would therefore be
> > > > applicable to the wider open source community.
> > > >
> > > > *SUPPORTING DETAILS*
> > > >
> > > > *Google Searches*
> > > > Google “Open source performance engineering” has 4,180,000,000
> results
> > > > Google “site:apache.org<http://apache.org> performance” has 147,000
> > > > results
> > > >
> > > > *Apache Projects *which may have some interest in, or focus on,
> > > > performance (just the top results):
> > > > JMeter, Cassandra, Storm, Spark, Samza, Pulsar, Kafka, Log4J,
> SystemML,
> > > > Drill, HTTP Server, Cayenne, ActiveMQ, Impala, Geode, Flink, Ignite,
> > > > Impala, Lucene, TVM, Tika, YuniKorn, Solr, Iceberg, Dubbo, Hudi,
> > > > Accumulo, Xerces, MXNet, Zookeeper
> > > >
> > > > *Incubator projects *which may have some interest in, or focus on,
> > > > performance**(again just top results):
> > > > Crail, Eagle, Nemo, Skywalking, MXnet, HAWQ, Mnemonic, CarbonData,
> > > > Drill, ShenYu, Tephra, Sedona
> > > >
> > > > *References *(randomly selected to show the range of open-source
> > > > performance engineering topics available, rather than the quality of
> > > > articles):
> > > >
> > > > 1. Performance Engineering for Apache Spark and Databricks Runtime
> > > > ETHZ, Big Data HS19
> > > > <
> > > >
> https://archive-systems.ethz.ch/sites/default/files/courses/2019-fall/bigdata/Databricks%20ETHZ%20Big%20Data%20HS19.pdf
> > > > >
> > > > 2. Real time insights into LinkedIn's performance using Apache
> Samza
> > > > <
> > > >
> https://engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza
> > > > >
> > > > 3. A day in the life of an open source performance engineering team
> > > > <https://opensource.com/article/19/5/life-performance-engineer>
> > > > 4. Locating Performance Regression Root Causes in the Field
> Operations
> > > > of<https://ieeexplore.ieee.org/document/9629300>Web-based
> Systems:
> > > > An Experience Report Published in: IEEE Transactions on Software
> > > > Engineering (Early Access)
> > > > <https://ieeexplore.ieee.org/document/9629300>
> > > > 5. How to Detect Performance Changes in Software History:
> Performance
> > > > Analysis of Software System Versions
> > > > <https://dl.acm.org/doi/10.1145/3185768.3186404>
> > > > 6. Performance-Regression Pitfalls Every Project Should Avoid
> > > > <
> > > >
> https://www.eetimes.eu/performance-regression-pitfalls-every-project-should-avoid/
> > > > >
> > > > 7. How to benchmark your websites with the open source Apache Bench
> > > > tool
> > > > <
> > > >
> https://www.techrepublic.com/article/how-to-benchmark-your-websites-with-the-open-source-apache-bench-tool/
> > > > >
> > > > 8. Benchmarking Pulsar and Kafka - A More Accurate Perspective on
> > > > Pulsar’s Performance
> > > > <
> > > >
> https://streamnative.io/blog/tech/2020-11-09-benchmark-pulsar-kafka-performance/
> > > > >
> > > > 9. Performance-Analyse: Apache Cassandra 4.0.0 Release
> > > > <https://benchant.com/blog/cassandra-4-performance>
> > > > 10. Log4J Performance - This page compares the performance of a
> number
> > > > of logging frameworks
> > > > <https://logging.apache.org/log4j/2.x/performance.html>
> > > > 11. SystemML Performance Testing
> > > > <
> https://systemds.apache.org/docs/1.0.0/python-performance-test.html>
> > > >
> > > >
> > >
> >
>
Re: Performance Engineering Track at ApacheCon NA?
Posted by Sharan Foga <sh...@apache.org>.
Hi Paulo
Yes we are still looking for reviewers. The duties are to read through the submission abstracts and rate them. It's a fairly simple process. If you are still interested then let me know and I'll request your setup.
Thanks
Sharan
On 2022/05/20 19:02:21 Paulo Motta wrote:
> Hi Sharan,
>
> Are you still looking for track reviewers on the perf. engineering track?
> What are the duties involved?
>
> Thanks,
>
> Paulo
>
> On Wed, 6 Apr 2022 at 12:14 Sharan Foga <sh...@apache.org> wrote:
>
> > Hi Paulo
> >
> > We have great news - the Performance Engineering track has been accepted
> > so we will be looking to encourage and promote CFP submissions for it. We
> > are also looking for reviewers to help us rate the submissions---if you are
> > still interested in doing that. ;-)
> >
> > Thanks
> > Sharan
> >
> > On 2022/03/16 15:36:04 Sharan Foga wrote:
> > > Hi Paulo
> > >
> > > Thanks for the feedback. If we do get the track accepted then we will
> > definitely be needing help reviewing the submissions - so may take you up
> > on your offer :-)
> > >
> > > Thanks
> > > Sharan
> > >
> > > On 2022/03/14 16:32:23 Paulo Motta wrote:
> > > > This Apachecon track sounds fun! I hope someone from the Cassandra
> > > > community steps up to help on this track.
> > > >
> > > > I would be happy to help on reviews but not organize the event per se
> > as I
> > > > will likely not attend the event.
> > > >
> > > > Em sex., 11 de mar. de 2022 às 09:26, sharanf <sh...@apache.org>
> > escreveu:
> > > >
> > > > > Hi All
> > > > >
> > > > > The call for tracks for ApacheCon NA is open. There is a suggestion
> > to
> > > > > try and run a Performance Engineering track at ApacheCon this year.
> > At
> > > > > the end of the message I have included some details including a
> > > > > definition of what we mean by it and some reasoning about why it
> > could
> > > > > be good to run. We have a list of projects that have something to do
> > > > > with performance engineering and if you take a look - you will see
> > that
> > > > > this project is on the list!
> > > > >
> > > > > So what I need is a some feedback as to whether the community thinks
> > > > > that this could be an interesting track topic to run at
> > ApacheCon..and
> > > > > more importantly would the community be willing to submit talks for
> > it
> > > > > or attend ApacheCon to see it.
> > > > >
> > > > > Like I say - this is just an idea at this stage. If the Performance
> > > > > Engineering track does get approval to be included at ApacheCon -
> > do we
> > > > > have any volunteers willing to help with managing and promoting the
> > > > > track on behalf of the project?
> > > > >
> > > > > Thanks
> > > > > Sharan
> > > > >
> > > > > -----------------------------
> > > > >
> > > > > *Performance Engineering* is the science and practice of engineering
> > > > > software with the required performance and scalability
> > characteristics.
> > > > > Many Apache projects focus on solving hard Big Data performance and
> > > > > scalability challenges, while others provide tools for performance
> > > > > engineering - but there are few projects that don’t care about some
> > > > > aspect of software performance.
> > > > >
> > > > > This track will enable Apache projects members to share their
> > > > > experiences of performance engineering best practices, tools,
> > > > > techniques, and results, from their own communities, with the
> > benefits
> > > > > of cross-fertilization between projects. Performance Engineering in
> > the
> > > > > wider open source community is pervasive and includes methods and
> > tools
> > > > > (including automation and agile approaches) for performance:
> > > > > architecting and design, benchmarking, monitoring, tracing, analysis,
> > > > > prediction, modeling and simulation, testing and reporting,
> > regression
> > > > > testing, and source code analysis and instrumentation techniques.
> > > > >
> > > > > Performance Engineering also has wider applicability to DevOps, the
> > > > > operation of cloud platforms by managed service providers (hence some
> > > > > overlap with SRE - Site Reliability Engineering), and customer
> > > > > application performance and tuning. This track would therefore be
> > > > > applicable to the wider open source community.
> > > > >
> > > > > *SUPPORTING DETAILS*
> > > > >
> > > > > *Google Searches*
> > > > > Google “Open source performance engineering” has 4,180,000,000
> > results
> > > > > Google “site:apache.org<http://apache.org> performance” has 147,000
> > > > > results
> > > > >
> > > > > *Apache Projects *which may have some interest in, or focus on,
> > > > > performance (just the top results):
> > > > > JMeter, Cassandra, Storm, Spark, Samza, Pulsar, Kafka, Log4J,
> > SystemML,
> > > > > Drill, HTTP Server, Cayenne, ActiveMQ, Impala, Geode, Flink, Ignite,
> > > > > Impala, Lucene, TVM, Tika, YuniKorn, Solr, Iceberg, Dubbo, Hudi,
> > > > > Accumulo, Xerces, MXNet, Zookeeper
> > > > >
> > > > > *Incubator projects *which may have some interest in, or focus on,
> > > > > performance**(again just top results):
> > > > > Crail, Eagle, Nemo, Skywalking, MXnet, HAWQ, Mnemonic, CarbonData,
> > > > > Drill, ShenYu, Tephra, Sedona
> > > > >
> > > > > *References *(randomly selected to show the range of open-source
> > > > > performance engineering topics available, rather than the quality of
> > > > > articles):
> > > > >
> > > > > 1. Performance Engineering for Apache Spark and Databricks Runtime
> > > > > ETHZ, Big Data HS19
> > > > > <
> > > > >
> > https://archive-systems.ethz.ch/sites/default/files/courses/2019-fall/bigdata/Databricks%20ETHZ%20Big%20Data%20HS19.pdf
> > > > > >
> > > > > 2. Real time insights into LinkedIn's performance using Apache
> > Samza
> > > > > <
> > > > >
> > https://engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza
> > > > > >
> > > > > 3. A day in the life of an open source performance engineering team
> > > > > <https://opensource.com/article/19/5/life-performance-engineer>
> > > > > 4. Locating Performance Regression Root Causes in the Field
> > Operations
> > > > > of<https://ieeexplore.ieee.org/document/9629300>Web-based
> > Systems:
> > > > > An Experience Report Published in: IEEE Transactions on Software
> > > > > Engineering (Early Access)
> > > > > <https://ieeexplore.ieee.org/document/9629300>
> > > > > 5. How to Detect Performance Changes in Software History:
> > Performance
> > > > > Analysis of Software System Versions
> > > > > <https://dl.acm.org/doi/10.1145/3185768.3186404>
> > > > > 6. Performance-Regression Pitfalls Every Project Should Avoid
> > > > > <
> > > > >
> > https://www.eetimes.eu/performance-regression-pitfalls-every-project-should-avoid/
> > > > > >
> > > > > 7. How to benchmark your websites with the open source Apache Bench
> > > > > tool
> > > > > <
> > > > >
> > https://www.techrepublic.com/article/how-to-benchmark-your-websites-with-the-open-source-apache-bench-tool/
> > > > > >
> > > > > 8. Benchmarking Pulsar and Kafka - A More Accurate Perspective on
> > > > > Pulsar’s Performance
> > > > > <
> > > > >
> > https://streamnative.io/blog/tech/2020-11-09-benchmark-pulsar-kafka-performance/
> > > > > >
> > > > > 9. Performance-Analyse: Apache Cassandra 4.0.0 Release
> > > > > <https://benchant.com/blog/cassandra-4-performance>
> > > > > 10. Log4J Performance - This page compares the performance of a
> > number
> > > > > of logging frameworks
> > > > > <https://logging.apache.org/log4j/2.x/performance.html>
> > > > > 11. SystemML Performance Testing
> > > > > <
> > https://systemds.apache.org/docs/1.0.0/python-performance-test.html>
> > > > >
> > > > >
> > > >
> > >
> >
>
RE: [EXTERNAL] Re: Performance Engineering Track at ApacheCon NA?
Posted by Sharan Foga <sh...@apache.org>.
Hi German
Thanks for the offer of help.
Please confirm if you'd like to be a reviewer for the track. Note that the one thing we are asking is that you are not submitting a talk to the track that you are reviewing. So as long as you are not planning to submit a talk for the Performance Engineering track then we'd be happy to have you as a reviewer.
Thanks
Sharan
On 2022/05/20 20:06:59 German Eichberger wrote:
> Hi Sharan,
>
> I am planning to attend the summit and happy to help as well.
>
> Thanks,
> German
>
> From: Paulo Motta <pa...@apache.org>
> Sent: Friday, May 20, 2022 12:02 PM
> To: dev@cassandra.apache.org
> Subject: [EXTERNAL] Re: Performance Engineering Track at ApacheCon NA?
>
> Hi Sharan,
>
> Are you still looking for track reviewers on the perf. engineering track? What are the duties involved?
>
> Thanks,
>
> Paulo
>
> On Wed, 6 Apr 2022 at 12:14 Sharan Foga <sh...@apache.org>> wrote:
> Hi Paulo
>
> We have great news - the Performance Engineering track has been accepted so we will be looking to encourage and promote CFP submissions for it. We are also looking for reviewers to help us rate the submissions---if you are still interested in doing that. ;-)
>
> Thanks
> Sharan
>
> On 2022/03/16 15:36:04 Sharan Foga wrote:
> > Hi Paulo
> >
> > Thanks for the feedback. If we do get the track accepted then we will definitely be needing help reviewing the submissions - so may take you up on your offer :-)
> >
> > Thanks
> > Sharan
> >
> > On 2022/03/14 16:32:23 Paulo Motta wrote:
> > > This Apachecon track sounds fun! I hope someone from the Cassandra
> > > community steps up to help on this track.
> > >
> > > I would be happy to help on reviews but not organize the event per se as I
> > > will likely not attend the event.
> > >
> > > Em sex., 11 de mar. de 2022 às 09:26, sharanf <sh...@apache.org>> escreveu:
> > >
> > > > Hi All
> > > >
> > > > The call for tracks for ApacheCon NA is open. There is a suggestion to
> > > > try and run a Performance Engineering track at ApacheCon this year. At
> > > > the end of the message I have included some details including a
> > > > definition of what we mean by it and some reasoning about why it could
> > > > be good to run. We have a list of projects that have something to do
> > > > with performance engineering and if you take a look - you will see that
> > > > this project is on the list!
> > > >
> > > > So what I need is a some feedback as to whether the community thinks
> > > > that this could be an interesting track topic to run at ApacheCon..and
> > > > more importantly would the community be willing to submit talks for it
> > > > or attend ApacheCon to see it.
> > > >
> > > > Like I say - this is just an idea at this stage. If the Performance
> > > > Engineering track does get approval to be included at ApacheCon - do we
> > > > have any volunteers willing to help with managing and promoting the
> > > > track on behalf of the project?
> > > >
> > > > Thanks
> > > > Sharan
> > > >
> > > > -----------------------------
> > > >
> > > > *Performance Engineering* is the science and practice of engineering
> > > > software with the required performance and scalability characteristics.
> > > > Many Apache projects focus on solving hard Big Data performance and
> > > > scalability challenges, while others provide tools for performance
> > > > engineering - but there are few projects that don't care about some
> > > > aspect of software performance.
> > > >
> > > > This track will enable Apache projects members to share their
> > > > experiences of performance engineering best practices, tools,
> > > > techniques, and results, from their own communities, with the benefits
> > > > of cross-fertilization between projects. Performance Engineering in the
> > > > wider open source community is pervasive and includes methods and tools
> > > > (including automation and agile approaches) for performance:
> > > > architecting and design, benchmarking, monitoring, tracing, analysis,
> > > > prediction, modeling and simulation, testing and reporting, regression
> > > > testing, and source code analysis and instrumentation techniques.
> > > >
> > > > Performance Engineering also has wider applicability to DevOps, the
> > > > operation of cloud platforms by managed service providers (hence some
> > > > overlap with SRE - Site Reliability Engineering), and customer
> > > > application performance and tuning. This track would therefore be
> > > > applicable to the wider open source community.
> > > >
> > > > *SUPPORTING DETAILS*
> > > >
> > > > *Google Searches*
> > > > Google "Open source performance engineering" has 4,180,000,000 results
> > > > Google "site:apache.org<https://nam06.safelinks.protection.outlook.com/?url=http%3A%2F%2Fapache.org%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4Webin%2FKO%2FBaDp%2F1W02zgBgQstQGtwgoVbnnLb4r0Ok%3D&reserved=0><http://apache.org<https://nam06.safelinks.protection.outlook.com/?url=http%3A%2F%2Fapache.org%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4Webin%2FKO%2FBaDp%2F1W02zgBgQstQGtwgoVbnnLb4r0Ok%3D&reserved=0>> performance" has 147,000
> > > > results
> > > >
> > > > *Apache Projects *which may have some interest in, or focus on,
> > > > performance (just the top results):
> > > > JMeter, Cassandra, Storm, Spark, Samza, Pulsar, Kafka, Log4J, SystemML,
> > > > Drill, HTTP Server, Cayenne, ActiveMQ, Impala, Geode, Flink, Ignite,
> > > > Impala, Lucene, TVM, Tika, YuniKorn, Solr, Iceberg, Dubbo, Hudi,
> > > > Accumulo, Xerces, MXNet, Zookeeper
> > > >
> > > > *Incubator projects *which may have some interest in, or focus on,
> > > > performance**(again just top results):
> > > > Crail, Eagle, Nemo, Skywalking, MXnet, HAWQ, Mnemonic, CarbonData,
> > > > Drill, ShenYu, Tephra, Sedona
> > > >
> > > > *References *(randomly selected to show the range of open-source
> > > > performance engineering topics available, rather than the quality of
> > > > articles):
> > > >
> > > > 1. Performance Engineering for Apache Spark and Databricks Runtime
> > > > ETHZ, Big Data HS19
> > > > <
> > > > https://archive-systems.ethz.ch/sites/default/files/courses/2019-fall/bigdata/Databricks%20ETHZ%20Big%20Data%20HS19.pdf<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Farchive-systems.ethz.ch%2Fsites%2Fdefault%2Ffiles%2Fcourses%2F2019-fall%2Fbigdata%2FDatabricks%2520ETHZ%2520Big%2520Data%2520HS19.pdf&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=5ZTYskCGfLoVeo7NLRoKAP6WoWOWiqUXqHTISNq%2BtKI%3D&reserved=0>
> > > > >
> > > > 2. Real time insights into LinkedIn's performance using Apache Samza
> > > > <
> > > > https://engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineering.linkedin.com%2Fsamza%2Freal-time-insights-linkedins-performance-using-apache-samza&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=E4DJd8Wgafh8tNULBCeQ7vE901C79uhZf21r6l2XYUg%3D&reserved=0>
> > > > >
> > > > 3. A day in the life of an open source performance engineering team
> > > > <https://opensource.com/article/19/5/life-performance-engineer<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopensource.com%2Farticle%2F19%2F5%2Flife-performance-engineer&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2BvltdTsF%2Fcp3xOWWG%2Fj0CDODqovAmrCVMuUheMj7Mn4%3D&reserved=0>>
> > > > 4. Locating Performance Regression Root Causes in the Field Operations
> > > > of<https://ieeexplore.ieee.org/document/9629300<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fieeexplore.ieee.org%2Fdocument%2F9629300&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=a9%2Ft%2B7q6HNxiF3blmiCSRvLggKdetZV%2BiTKMx7QhwRI%3D&reserved=0>>Web-based Systems:
> > > > An Experience Report Published in: IEEE Transactions on Software
> > > > Engineering (Early Access)
> > > > <https://ieeexplore.ieee.org/document/9629300<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fieeexplore.ieee.org%2Fdocument%2F9629300&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=a9%2Ft%2B7q6HNxiF3blmiCSRvLggKdetZV%2BiTKMx7QhwRI%3D&reserved=0>>
> > > > 5. How to Detect Performance Changes in Software History: Performance
> > > > Analysis of Software System Versions
> > > > <https://dl.acm.org/doi/10.1145/3185768.3186404<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdl.acm.org%2Fdoi%2F10.1145%2F3185768.3186404&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qZVaIQFqo12Z6iTltFBzew1mPWmviAzWR8eWr7C9ol8%3D&reserved=0>>
> > > > 6. Performance-Regression Pitfalls Every Project Should Avoid
> > > > <
> > > > https://www.eetimes.eu/performance-regression-pitfalls-every-project-should-avoid/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eetimes.eu%2Fperformance-regression-pitfalls-every-project-should-avoid%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=hS1Ngufjd8yRTRzXHVMpGBir59vpCBaxOu827b6QEoE%3D&reserved=0>
> > > > >
> > > > 7. How to benchmark your websites with the open source Apache Bench
> > > > tool
> > > > <
> > > > https://www.techrepublic.com/article/how-to-benchmark-your-websites-with-the-open-source-apache-bench-tool/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.techrepublic.com%2Farticle%2Fhow-to-benchmark-your-websites-with-the-open-source-apache-bench-tool%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=oGTWfZKplH3gGgRpsk3%2B496oOwvviPBDN20h0J839Bk%3D&reserved=0>
> > > > >
> > > > 8. Benchmarking Pulsar and Kafka - A More Accurate Perspective on
> > > > Pulsar's Performance
> > > > <
> > > > https://streamnative.io/blog/tech/2020-11-09-benchmark-pulsar-kafka-performance/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstreamnative.io%2Fblog%2Ftech%2F2020-11-09-benchmark-pulsar-kafka-performance%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0T94oVs1aKjxPJeaRd22Q3Om6BBdmoVGU%2FrknalgwvQ%3D&reserved=0>
> > > > >
> > > > 9. Performance-Analyse: Apache Cassandra 4.0.0 Release
> > > > <https://benchant.com/blog/cassandra-4-performance<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenchant.com%2Fblog%2Fcassandra-4-performance&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=7SPRZytInukaOjirTLnmWDQtjjmyzM7%2F%2FgfZJ%2BYlhRc%3D&reserved=0>>
> > > > 10. Log4J Performance - This page compares the performance of a number
> > > > of logging frameworks
> > > > <https://logging.apache.org/log4j/2.x/performance.html<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Flogging.apache.org%2Flog4j%2F2.x%2Fperformance.html&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2FnVFC1cgXqXeAIJUw1fFztqvz%2FEkAhX54AiF63C33Bw%3D&reserved=0>>
> > > > 11. SystemML Performance Testing
> > > > <https://systemds.apache.org/docs/1.0.0/python-performance-test.html<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsystemds.apache.org%2Fdocs%2F1.0.0%2Fpython-performance-test.html&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=paKBhyvCYP9OpCyeP6Ov%2BLo7H%2FywklpWOlWY09hEpAs%3D&reserved=0>>
> > > >
> > > >
> > >
> >
>
RE: [EXTERNAL] Re: Performance Engineering Track at ApacheCon NA?
Posted by German Eichberger <Ge...@microsoft.com>.
Hi Sharan,
I am planning to attend the summit and happy to help as well.
Thanks,
German
From: Paulo Motta <pa...@apache.org>
Sent: Friday, May 20, 2022 12:02 PM
To: dev@cassandra.apache.org
Subject: [EXTERNAL] Re: Performance Engineering Track at ApacheCon NA?
Hi Sharan,
Are you still looking for track reviewers on the perf. engineering track? What are the duties involved?
Thanks,
Paulo
On Wed, 6 Apr 2022 at 12:14 Sharan Foga <sh...@apache.org>> wrote:
Hi Paulo
We have great news - the Performance Engineering track has been accepted so we will be looking to encourage and promote CFP submissions for it. We are also looking for reviewers to help us rate the submissions---if you are still interested in doing that. ;-)
Thanks
Sharan
On 2022/03/16 15:36:04 Sharan Foga wrote:
> Hi Paulo
>
> Thanks for the feedback. If we do get the track accepted then we will definitely be needing help reviewing the submissions - so may take you up on your offer :-)
>
> Thanks
> Sharan
>
> On 2022/03/14 16:32:23 Paulo Motta wrote:
> > This Apachecon track sounds fun! I hope someone from the Cassandra
> > community steps up to help on this track.
> >
> > I would be happy to help on reviews but not organize the event per se as I
> > will likely not attend the event.
> >
> > Em sex., 11 de mar. de 2022 às 09:26, sharanf <sh...@apache.org>> escreveu:
> >
> > > Hi All
> > >
> > > The call for tracks for ApacheCon NA is open. There is a suggestion to
> > > try and run a Performance Engineering track at ApacheCon this year. At
> > > the end of the message I have included some details including a
> > > definition of what we mean by it and some reasoning about why it could
> > > be good to run. We have a list of projects that have something to do
> > > with performance engineering and if you take a look - you will see that
> > > this project is on the list!
> > >
> > > So what I need is a some feedback as to whether the community thinks
> > > that this could be an interesting track topic to run at ApacheCon..and
> > > more importantly would the community be willing to submit talks for it
> > > or attend ApacheCon to see it.
> > >
> > > Like I say - this is just an idea at this stage. If the Performance
> > > Engineering track does get approval to be included at ApacheCon - do we
> > > have any volunteers willing to help with managing and promoting the
> > > track on behalf of the project?
> > >
> > > Thanks
> > > Sharan
> > >
> > > -----------------------------
> > >
> > > *Performance Engineering* is the science and practice of engineering
> > > software with the required performance and scalability characteristics.
> > > Many Apache projects focus on solving hard Big Data performance and
> > > scalability challenges, while others provide tools for performance
> > > engineering - but there are few projects that don't care about some
> > > aspect of software performance.
> > >
> > > This track will enable Apache projects members to share their
> > > experiences of performance engineering best practices, tools,
> > > techniques, and results, from their own communities, with the benefits
> > > of cross-fertilization between projects. Performance Engineering in the
> > > wider open source community is pervasive and includes methods and tools
> > > (including automation and agile approaches) for performance:
> > > architecting and design, benchmarking, monitoring, tracing, analysis,
> > > prediction, modeling and simulation, testing and reporting, regression
> > > testing, and source code analysis and instrumentation techniques.
> > >
> > > Performance Engineering also has wider applicability to DevOps, the
> > > operation of cloud platforms by managed service providers (hence some
> > > overlap with SRE - Site Reliability Engineering), and customer
> > > application performance and tuning. This track would therefore be
> > > applicable to the wider open source community.
> > >
> > > *SUPPORTING DETAILS*
> > >
> > > *Google Searches*
> > > Google "Open source performance engineering" has 4,180,000,000 results
> > > Google "site:apache.org<https://nam06.safelinks.protection.outlook.com/?url=http%3A%2F%2Fapache.org%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4Webin%2FKO%2FBaDp%2F1W02zgBgQstQGtwgoVbnnLb4r0Ok%3D&reserved=0><http://apache.org<https://nam06.safelinks.protection.outlook.com/?url=http%3A%2F%2Fapache.org%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4Webin%2FKO%2FBaDp%2F1W02zgBgQstQGtwgoVbnnLb4r0Ok%3D&reserved=0>> performance" has 147,000
> > > results
> > >
> > > *Apache Projects *which may have some interest in, or focus on,
> > > performance (just the top results):
> > > JMeter, Cassandra, Storm, Spark, Samza, Pulsar, Kafka, Log4J, SystemML,
> > > Drill, HTTP Server, Cayenne, ActiveMQ, Impala, Geode, Flink, Ignite,
> > > Impala, Lucene, TVM, Tika, YuniKorn, Solr, Iceberg, Dubbo, Hudi,
> > > Accumulo, Xerces, MXNet, Zookeeper
> > >
> > > *Incubator projects *which may have some interest in, or focus on,
> > > performance**(again just top results):
> > > Crail, Eagle, Nemo, Skywalking, MXnet, HAWQ, Mnemonic, CarbonData,
> > > Drill, ShenYu, Tephra, Sedona
> > >
> > > *References *(randomly selected to show the range of open-source
> > > performance engineering topics available, rather than the quality of
> > > articles):
> > >
> > > 1. Performance Engineering for Apache Spark and Databricks Runtime
> > > ETHZ, Big Data HS19
> > > <
> > > https://archive-systems.ethz.ch/sites/default/files/courses/2019-fall/bigdata/Databricks%20ETHZ%20Big%20Data%20HS19.pdf<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Farchive-systems.ethz.ch%2Fsites%2Fdefault%2Ffiles%2Fcourses%2F2019-fall%2Fbigdata%2FDatabricks%2520ETHZ%2520Big%2520Data%2520HS19.pdf&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=5ZTYskCGfLoVeo7NLRoKAP6WoWOWiqUXqHTISNq%2BtKI%3D&reserved=0>
> > > >
> > > 2. Real time insights into LinkedIn's performance using Apache Samza
> > > <
> > > https://engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineering.linkedin.com%2Fsamza%2Freal-time-insights-linkedins-performance-using-apache-samza&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=E4DJd8Wgafh8tNULBCeQ7vE901C79uhZf21r6l2XYUg%3D&reserved=0>
> > > >
> > > 3. A day in the life of an open source performance engineering team
> > > <https://opensource.com/article/19/5/life-performance-engineer<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopensource.com%2Farticle%2F19%2F5%2Flife-performance-engineer&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2BvltdTsF%2Fcp3xOWWG%2Fj0CDODqovAmrCVMuUheMj7Mn4%3D&reserved=0>>
> > > 4. Locating Performance Regression Root Causes in the Field Operations
> > > of<https://ieeexplore.ieee.org/document/9629300<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fieeexplore.ieee.org%2Fdocument%2F9629300&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=a9%2Ft%2B7q6HNxiF3blmiCSRvLggKdetZV%2BiTKMx7QhwRI%3D&reserved=0>>Web-based Systems:
> > > An Experience Report Published in: IEEE Transactions on Software
> > > Engineering (Early Access)
> > > <https://ieeexplore.ieee.org/document/9629300<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fieeexplore.ieee.org%2Fdocument%2F9629300&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=a9%2Ft%2B7q6HNxiF3blmiCSRvLggKdetZV%2BiTKMx7QhwRI%3D&reserved=0>>
> > > 5. How to Detect Performance Changes in Software History: Performance
> > > Analysis of Software System Versions
> > > <https://dl.acm.org/doi/10.1145/3185768.3186404<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdl.acm.org%2Fdoi%2F10.1145%2F3185768.3186404&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qZVaIQFqo12Z6iTltFBzew1mPWmviAzWR8eWr7C9ol8%3D&reserved=0>>
> > > 6. Performance-Regression Pitfalls Every Project Should Avoid
> > > <
> > > https://www.eetimes.eu/performance-regression-pitfalls-every-project-should-avoid/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.eetimes.eu%2Fperformance-regression-pitfalls-every-project-should-avoid%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=hS1Ngufjd8yRTRzXHVMpGBir59vpCBaxOu827b6QEoE%3D&reserved=0>
> > > >
> > > 7. How to benchmark your websites with the open source Apache Bench
> > > tool
> > > <
> > > https://www.techrepublic.com/article/how-to-benchmark-your-websites-with-the-open-source-apache-bench-tool/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.techrepublic.com%2Farticle%2Fhow-to-benchmark-your-websites-with-the-open-source-apache-bench-tool%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=oGTWfZKplH3gGgRpsk3%2B496oOwvviPBDN20h0J839Bk%3D&reserved=0>
> > > >
> > > 8. Benchmarking Pulsar and Kafka - A More Accurate Perspective on
> > > Pulsar's Performance
> > > <
> > > https://streamnative.io/blog/tech/2020-11-09-benchmark-pulsar-kafka-performance/<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstreamnative.io%2Fblog%2Ftech%2F2020-11-09-benchmark-pulsar-kafka-performance%2F&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0T94oVs1aKjxPJeaRd22Q3Om6BBdmoVGU%2FrknalgwvQ%3D&reserved=0>
> > > >
> > > 9. Performance-Analyse: Apache Cassandra 4.0.0 Release
> > > <https://benchant.com/blog/cassandra-4-performance<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenchant.com%2Fblog%2Fcassandra-4-performance&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=7SPRZytInukaOjirTLnmWDQtjjmyzM7%2F%2FgfZJ%2BYlhRc%3D&reserved=0>>
> > > 10. Log4J Performance - This page compares the performance of a number
> > > of logging frameworks
> > > <https://logging.apache.org/log4j/2.x/performance.html<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Flogging.apache.org%2Flog4j%2F2.x%2Fperformance.html&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2FnVFC1cgXqXeAIJUw1fFztqvz%2FEkAhX54AiF63C33Bw%3D&reserved=0>>
> > > 11. SystemML Performance Testing
> > > <https://systemds.apache.org/docs/1.0.0/python-performance-test.html<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsystemds.apache.org%2Fdocs%2F1.0.0%2Fpython-performance-test.html&data=05%7C01%7CGerman.Eichberger%40microsoft.com%7Ca363c04a1d5644a0616908da3a9442b1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C637886705708179924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=paKBhyvCYP9OpCyeP6Ov%2BLo7H%2FywklpWOlWY09hEpAs%3D&reserved=0>>
> > >
> > >
> >
>